Exemplo n.º 1
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def test_material_spec():
    """Test that Process/Material Spec link survives serialization."""
    # Create a ProcessSpec
    proc_spec = ProcessSpec(name="a process spec", tags=["tag1", "tag2"])

    # Create MaterialSpec without a ProcessSpec
    prop = Property(name="The material is a solid",
                    value=DiscreteCategorical(probabilities="solid"))
    mat_spec = MaterialSpec(name="a material spec",
                            properties=PropertyAndConditions(prop))
    assert mat_spec.process is None, \
        "MaterialSpec should be initialized with no ProcessSpec, by default"

    # Assign a ProcessSpec to mat_spec, first ensuring that the type is enforced
    with pytest.raises(TypeError):
        mat_spec.process = 17
    mat_spec.process = proc_spec

    # Assert circular links
    assert dumps(proc_spec.output_material.process) == dumps(proc_spec), \
        "ProcessSpec should link to MaterialSpec that links back to itself"

    assert dumps(mat_spec.process.output_material) == dumps(mat_spec), \
        "MaterialSpec should link to ProcessSpec that links back to itself"

    # Make copies of both specs
    mat_spec_copy = loads(dumps(mat_spec))
    proc_spec_copy = loads(dumps(proc_spec))

    assert proc_spec_copy.output_material == mat_spec, \
        "Serialization should preserve link from ProcessSpec to MaterialSpec"

    assert mat_spec_copy.process == proc_spec, \
        "Serialization should preserve link from MaterialSpec to ProcessSpec"
Exemplo n.º 2
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def test_process_reassignment():
    """Test that a material can be assigned to a new process."""
    drying = ProcessSpec("drying")
    welding = ProcessSpec("welding")
    powder = MaterialSpec("Powder", process=welding)

    assert powder.process == welding
    assert welding.output_material == powder

    powder.process = drying
    assert powder.process == drying
    assert drying.output_material == powder
    assert welding.output_material is None
Exemplo n.º 3
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def test_circular_crawl():
    """Test that make_instance can handle a circular set of linked objects."""
    proc = ProcessSpec("process name")
    mat = MaterialSpec("material name", process=proc)
    IngredientSpec(name="ingredient name", material=mat, process=proc)
    mat_run = make_instance(mat)
    assert mat_run == mat_run.process.ingredients[0].material
Exemplo n.º 4
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def test_serialized_history():
    """Test the serialization of a complete material history."""
    # Create several runs and specs linked together
    buy_spec = LinkByUID("id", "pr723")
    cookie_dough_spec = MaterialSpec("cookie dough spec", process=buy_spec)
    buy_cookie_dough = ProcessRun("Buy cookie dough", uids={'id': '32283'}, spec=buy_spec)
    cookie_dough = MaterialRun("cookie dough", process=buy_cookie_dough, spec=cookie_dough_spec)
    bake = ProcessRun("bake cookie dough", conditions=[
        Condition("oven temp", origin='measured', value=NominalReal(357, 'degF'))])
    IngredientRun(material=cookie_dough,
                  process=bake, number_fraction=NominalReal(1, ''))
    cookie = MaterialRun("cookie", process=bake, tags=["chocolate chip", "drop"])
    MeasurementRun("taste", material=cookie, properties=[
        Property("taste", value=DiscreteCategorical("scrumptious"))])

    cookie_history = complete_material_history(cookie)
    # There are 7 entities in the serialized list: cookie dough (spec & run), buy cookie dough,
    # cookie dough ingredient, bake cookie dough, cookie, taste
    assert len(cookie_history) == 7
    for entity in cookie_history:
        assert len(entity['uids']) > 0, "Serializing material history should assign uids."

    # Check that the measurement points to the material
    taste_dict = next(x for x in cookie_history if x.get('type') == 'measurement_run')
    cookie_dict = next(x for x in cookie_history if x.get('name') == 'cookie')
    scope = taste_dict.get('material').get('scope')
    assert taste_dict.get('material').get('id') == cookie_dict.get('uids').get(scope)

    # Check that both the material spec and the process run point to the same process spec.
    # Because that spec was initially a LinkByUID, this also tests the methods ability to
    # serialize a LinkByUID.
    cookie_dough_spec_dict = next(x for x in cookie_history if x.get('type') == 'material_spec')
    buy_cookie_dough_dict = next(x for x in cookie_history if x.get('name') == 'Buy cookie dough')
    assert cookie_dough_spec_dict.get('process') == buy_spec.as_dict()
    assert buy_cookie_dough_dict.get('spec') == buy_spec.as_dict()
Exemplo n.º 5
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 def __init__(self,
              name: str,
              *,
              uids: Optional[Dict[str, str]] = None,
              tags: Optional[List[str]] = None,
              notes: Optional[str] = None,
              process: Optional[GEMDProcessSpec] = None,
              properties: Optional[List[PropertyAndConditions]] = None,
              template: Optional[GEMDMaterialTemplate] = None,
              file_links: Optional[List[FileLink]] = None):
     if uids is None:
         uids = dict()
     DataConcepts.__init__(self, GEMDMaterialSpec.typ)
     GEMDMaterialSpec.__init__(self, name=name, uids=uids,
                               tags=tags, process=process, properties=properties,
                               template=template, file_links=file_links, notes=notes)
Exemplo n.º 6
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def test_make_instance():
    """Build up several linked objects and test their properties."""
    msr_spec = MeasurementSpec()
    assert isinstance(make_instance(msr_spec), MeasurementRun)

    mat_spec = MaterialSpec(name='Mat name')
    mat_spec.process = ProcessSpec(name='Pro name')
    IngredientSpec(name='Ing label', process=mat_spec.process)
    mat_spec.process.ingredients[0].material = MaterialSpec(name='Baby mat name')

    mat_run = make_instance(mat_spec)
    assert isinstance(mat_run, MaterialRun)
    assert isinstance(mat_run.process, ProcessRun)
    assert isinstance(mat_run.process.ingredients[0], IngredientRun)
    assert isinstance(mat_run.process.ingredients[0].material, MaterialRun)

    assert mat_run.process.spec == mat_run.spec.process
    ingredient = mat_run.process.ingredients[0]
    assert ingredient.spec == mat_run.spec.process.ingredients[0]
    assert ingredient.material.spec == mat_run.spec.process.ingredients[0].material
Exemplo n.º 7
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def test_ingredient_spec():
    """Tests that a process can house an ingredient, and that pairing survives serialization."""
    # Create a ProcessSpec
    proc_spec = ProcessSpec(name="a process spec", tags=["tag1", "tag2"])
    IngredientSpec(name='Input',
                   material=MaterialSpec(name='Raw'),
                   process=proc_spec)

    # Make copies of both specs
    proc_spec_copy = loads(dumps(proc_spec))

    assert proc_spec_copy == proc_spec, "Full structure wasn't preserved across serialization"
Exemplo n.º 8
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def make_strehlow_objects(table=None, template_scope=DEMO_TEMPLATE_SCOPE):
    """Make a table with Strehlow & Cook data."""
    tmpl = make_templates(template_scope)

    if table is None:
        table = import_table()

    # Specs
    msr_spec = MeasurementSpec(name='Band gap',
                               template=tmpl["Band gap measurement"]
                               )

    def real_mapper(prop):
        """Mapping methods for RealBounds."""
        if 'uncertainty' in prop['scalars'][0]:
            if prop['units'] == 'eV':  # Arbitrarily convert to attojoules
                mean = convert_units(value=float(prop['scalars'][0]['value']),
                                     starting_unit=prop['units'],
                                     final_unit='aJ'
                                     )
                std = convert_units(value=float(prop['scalars'][0]['value']),
                                    starting_unit=prop['units'],
                                    final_unit='aJ'
                                    )
                val = NormalReal(mean=mean,
                                 units='aJ',
                                 std=std
                                 )
            else:
                val = NormalReal(mean=float(prop['scalars'][0]['value']),
                                 units=prop['units'],
                                 std=float(prop['scalars'][0]['uncertainty'])
                                 )
        else:
            val = NominalReal(nominal=float(prop['scalars'][0]['value']),
                              units=prop['units']
                              )
        return val

    content_map = {
        RealBounds: real_mapper,
        CategoricalBounds: lambda prop: NominalCategorical(category=prop['scalars'][0]['value']),
        type(None): lambda bnd: 'Label'
    }

    datapoints = []
    compounds = dict()
    for row in table:
        formula = formula_clean(row['chemicalFormula'])
        if formula not in compounds:
            compounds[formula] = MaterialSpec(
                name=formula_latex(formula),
                template=tmpl["Chemical"],
                process=ProcessSpec(name="Sample preparation",
                                    template=tmpl["Sample preparation"]
                                    ))
        spec = compounds[formula]
        run = make_instance(spec)
        datapoints.append(run)

        if not spec.properties:
            spec.properties.append(
                PropertyAndConditions(
                    property=Property(name=spec.template.properties[0][0].name,
                                      value=EmpiricalFormula(formula=formula),
                                      template=spec.template.properties[0][0])
                ))

        msr = make_instance(msr_spec)
        msr.material = run

        # 2 categories in the PIF need to be split to avoid repeat Attribute Templates in a Run
        name_map = {
            'Phase': 'Crystal system',
            'Transition': 'Bands'
        }
        origin_map = {
            'EXPERIMENTAL': Origin.MEASURED,
            'COMPUTATIONAL': Origin.COMPUTED
        }
        seen = set()  # Some conditions come in from multiple properties on the same object
        for prop in row['properties']:
            origin = origin_map.get(prop.get('dataType', None), Origin.UNKNOWN)
            if 'method' in prop:
                method = 'Method: ' + prop['method']['name']
            else:
                method = 'Method: unreported'
            for attr in [prop] + prop.get('conditions', []):
                if attr['name'] in seen:
                    # Early return if it's a repeat
                    continue
                seen.add(attr['name'])

                template = tmpl[attr['name']]
                # Figure out if we need to split this column
                if attr['name'] in name_map:
                    value = attr['scalars'][0]['value']
                    if value not in template.bounds.categories:
                        template = tmpl[name_map[attr['name']]]

                # Move into GEMD structure
                if type(template) == PropertyTemplate:
                    msr.properties.append(
                        Property(name=template.name,
                                 template=template,
                                 value=content_map[type(template.bounds)](attr),
                                 origin=origin,
                                 notes=method
                                 ))
                elif type(template) == ConditionTemplate:
                    msr.conditions.append(
                        Condition(name=template.name,
                                  template=template,
                                  value=content_map[type(template.bounds)](attr),
                                  origin=origin,
                                  notes=method
                                  ))

    return datapoints
Exemplo n.º 9
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def test_invalid_assignment():
    """Invalid assignments to `process` or `template` throw a TypeError."""
    with pytest.raises(TypeError):
        MaterialSpec("name", process=["Process 1", "Process 2"])
    with pytest.raises(TypeError):
        MaterialSpec("name", template=MaterialSpec("another spec"))